Research on Online Publicity Effect Evaluation of Significant Subject
Pages 237 - 241
Abstract
As the problem of that traditional evaluation system is difficult to reflect the media effect in the process of information dissemination, this paper proposed a scheme to evaluate the significant subjects' online publicity. The scheme used the combination weighting to build an indicator system. Six parallel indexes are chosen as the evaluation criterion. The ranking result is obtained after the analysis of exemplary cases. The iterative ratio is revised based on Mc Quail 's information processing theory and "Final ranking corresponds to six First level index". The final score corresponds to the description of publicity effect in communication effect theory.
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Index Terms
- Research on Online Publicity Effect Evaluation of Significant Subject
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Published In
May 2019
353 pages
ISBN:9781450362788
DOI:10.1145/3335484
Copyright © 2019 ACM.
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In-Cooperation
- Shenzhen University: Shenzhen University
- Sun Yat-Sen University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 May 2019
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- Research-article
- Research
- Refereed limited
Funding Sources
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Communication University of China?s state-of-the-art training research project
Conference
ICBDC 2019
ICBDC 2019: 2019 4th International Conference on Big Data and Computing
May 10 - 12, 2019
Guangzhou, China
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